We may earn an affiliate commission when you visit our partners.

Contingency Tables

Save
May 1, 2024 4 minute read

Contingency tables are a powerful tool for exploring the relationship between two categorical variables. They are frequently used in a variety of fields, including social science, medicine, and business. When the data you are working on consists of counts and frequencies, a contingency table is almost always the best way to visualize and summarize your data.

When to Use Contingency Tables

Share

Help others find this page about Contingency Tables: by sharing it with your friends and followers:

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Contingency Tables.
Gives in-depth mathematical treatments of contingency tables and log-linear models for contingency table analysis. It is useful to readers who are seeking more advanced knowledge of the contingency table analysis.
This handbook provides a comprehensive overview of data analysis methods. It includes a chapter on contingency tables, which are used to analyze the relationship between two or more categorical variables.
Covers the most important methodologies for categorical data analysis and provides a very accessible and comprehensive introduction to the subject.
Provides a comprehensive overview of contingency tables in French. It covers a wide range of topics, including descriptive statistics, hypothesis testing, and model selection.
Focuses on the problem of statistical inference for categorical data, covering the traditional methods and more recent developments.
Uses log-linear models to analyze event history data. It provides a foundation in contingency table analysis for studying event history and duration data.
Covers the design, conduct, and analysis of epidemiologic studies. It includes a chapter on contingency tables, which are used to analyze the relationship between two or more categorical variables.
Provides an applied introduction to survival analysis. It includes a chapter on contingency tables, which are used to analyze the relationship between two or more categorical variables.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser